DeepLearning.AI vs Elements of AI
We haven't taken both platforms through a full review cycle yet. The scores below are placeholders.
DeepLearning.AI or Elements of AI: which should you choose?
Choose DeepLearning.AI if
- [TODO: verify]
- [TODO: verify]
- [TODO: verify]
Choose Elements of AI if
- [TODO: verify]
- [TODO: verify]
- [TODO: verify]
Side by side
| DeepLearning.AI | Elements of AI | |
|---|---|---|
| Cost model | Free to audit on Coursera; certificates are paid | Completely free, including the certificate |
| What is free | Every course can be audited for free. You pay only for the certificate. | Everything is free, always. |
| Certificates | Paid, issued via Coursera | Free |
| Best for | Structured, well-produced courses from Andrew Ng's team | Absolute beginners who want zero cost and zero code |
| Weakest at | Hands-on practice: leans toward video and quizzes over projects | Anyone who wants to actually build something |
What is the best course on each?
- DeepLearning.AI: Machine Learning Specialization
The Machine Learning Specialization has 3 courses and 95 hours of Andrew Ng's lessons. Coursera's FAQ says you cannot take it for free, so check the cost first.
- Elements of AI: Elements of AI
The gentlest way in: a University of Helsinki course with no code and no maths beyond school level. It takes about 24 to 48 hours and the certificate is free.
Where to go next
- DeepLearning.AI: our platform review
The most reliable name in free-to-audit AI education. Skip the certificate unless you need it for a CV.
- Elements of AI: our platform review
The single best free-and-only-free option for non-coders. Nothing to upsell.
Last checked .
Still torn?
Skip the platform question. Answer two questions about you and we'll pick the course.